2025-03-05
Added a feature to detect potential issues with randomization in A/B tests by checking if the traffic split between variations is significantly different from expected.
Enhanced the calculator to provide more accurate advice when the variation performs worse than the control.
Introduced a new section to keep users informed about recent changes and upcoming improvements.
Restructured the sidebar menu to group similar tools together, improving user experience and discoverability.
Streamlined the toolkit by removing the Radar Chart feature to focus on core A/B testing and analysis tools.
2024-02-03
Enhanced the calculator to provide more accurate advice when the variation performs worse than the control.
Introduced a new section to keep users informed about recent changes and upcoming improvements.
Restructured the sidebar menu to group similar tools together, improving user experience and discoverability.
2024-01-15
Added a new calculator for Average Order Value (AOV) analysis, utilizing the Mann-Whitney U test for statistical significance.
Users can now import their data from CSV files directly into the AOV Calculator.
Improved error messages and input validation across all calculators for a smoother user experience.
Added a new tool to generate Waterfall Charts for visualizing data changes over time.
Introduced a Sankey Diagram generator to visualize flows and relationships between different data points.
Improved interactivity for charts and diagrams with zoom and drag functionalities.
A new calculator to determine the duration of events or processes.
Added a table to display Mean Daily Engagement (MDE) data on a weekly basis.
Improved the accuracy and efficiency of sample size calculations for statistical analysis.
Completely redesigned the user interface with a new design system for improved aesthetics and usability.
Added a new calculator to project and analyze revenue based on various factors.
Implemented adjustments for seasonality in calculations to account for fluctuations throughout the year.
Added decay modeling capabilities to account for the decline in the effect of certain variables over time.
Improved the visual representation of A/B test results for better understanding.
Added clear displays of confidence intervals to provide a range of plausible values for the results.
Enhanced the accuracy and reliability of statistical power calculations.
Introduced a demo mode to allow users to try out the calculators without needing to input their own data.
Optimized the user interface for better performance and usability on mobile devices.
Improved error messages to be more informative and user-friendly.
The application was completely rewritten using Next.js for improved performance and scalability.
Added new statistical methods to enhance the accuracy and robustness of the analysis.
Added a comprehensive FAQ section to address common user questions and concerns.
The initial release of the Henkan Toolkit.
The initial release included a basic A/B test calculator.
Basic statistical analysis capabilities were included in the initial release.
A new calculator that uses Bayesian statistics, allowing users to incorporate prior knowledge into their A/B test analysis.
Ability to import data directly from popular analytics tools, streamlining the data input process.
Users will be able to create and download personalized PDF reports of their A/B test results and analyses.
A dedicated mobile application to perform A/B test calculations and view results from smartphones and tablets.
Expand capabilities to analyze tests with multiple variables, allowing for more complex experimental designs.
Introduce tools for teams to work together on A/B test analysis in real-time, facilitating better communication and decision-making.
Allow users to build personalized dashboards with their most-used calculators and visualizations for quick access.
Provide an API for developers to integrate Henkan Toolkit's calculations directly into their own applications or workflows.